Himax Technologies, Inc.

National Taiwan University

Himax Media Solutions, Inc.

Chimei Innolux Corporation

Ncku Research and Development Foundation

Ling-Hsiu Huang

Shing-Chia Chen

Liang-Gee Chen

Chao-Chung Cheng

Chung-Te Li

Homer H Chen

Yen-Chieh Lai

Tai-Hsiang Huang

Lin-Kai Bu

Su-Ling Yeh

Shao-Yi Chien

Yi-Chun Lin

Yi-Nung Liu

Wei-Ting Suen

Chia-Kai Liang

Chien Wu

Ying-Ru Chen

Fang-Chen Chang

Gwo Giun Lee

Ming-Jiun Wang

Sheng-Chun Niu

Cheng-Jung Chen

Wen-Fu Lee

Yung-Hao Yang

Hsin-I Liao

Chen-Tai Kao

San-Yuan Lin

A method of generating view-dependent compensated images is disclosed. A uniform image is projected on a reflective screen, resulting in a first captured image. The distribution of specular highlight is predicted according to the first captured image, thereby obtaining model parameters. Calibration images are estimated according to the model parameters and a viewing angle, and a compensated image is generated according to the calibration images at the viewing angle.

Method of generating view-dependent compensated images

An example process to enhance a two-dimensional (2D) image may include generating a depth map for the 2D image based on edges detected from the 2D image, wherein the depth map can be used to convert the 2D image to a 3D image. The process may further include enhancing the 2D image using the depth map.

Real-time depth-aware image enhancement system

A direction-adaptive image upsampling system and method using double interpolation is disclosed. Each of double interpolation (DI) units with different interpolation functions receives an input image and generates a corresponding double-interpolated image and an associated double-interpolated difference. A decision unit receives the double-interpolated differences from the DI units for deciding the DI unit that has an optimal interpolation around a pixel under process. An adaptive selector selects the double-interpolated image associated with the DI unit having the optimal interpolation as an output image.

Direction-adaptive image upsampling system and method using double interpolation

In accordance with at least some embodiments of the present disclosure, a processor for performing stereo matching of a first image and a second image is described. The processor may include a first pipeline stage configured to generate data costs associated with a first tile selected from the first image, wherein the data costs is generated based on pixels in the first tile and corresponding pixels in the second image. The processor may include a second pipeline stage configured to generate disparity values associated with the first tile and an outbound message from the first tile to one of neighboring tiles in the first image, wherein the disparity values and the outbound message are generated based on the data costs and inbound messages from the neighboring tiles to the first tile. The processor may further include a third pipeline stage configured to store the disparity values and the outbound message in a memory, wherein the outbound message is used by the second pipeline stage as one of the inbound messages during processing of a second tile selected from the first image.

Stereo-matching processor using belief propagation

A system and method of correcting a depth map for 3D image is disclosed. A spatial spectral transform unit extracts pixels of object boundaries according to an input image, wherein the spatial spectral transform unit adopts Hilbert-Huang transform (HHT). A correction unit corrects an input depth map corresponding to the input image according to the pixels of object boundaries, thereby resulting in an output depth map.

System and method of correcting a depth map for 3D image

A learning-based visual attention prediction method is disclosed. The method includes a correlation relationship between the fixation density and at least one feature information being learned by training, followed by a test video sequence of test frames being received. Afterward, at least one tested feature map is generated for each test frame based on the feature information. Finally, the tested feature map is mapped into a saliency map, which indicates the fixation strength of the corresponding test frame, according to the correlation relationship.

Learning-based visual attention prediction system and method thereof

A method of revising depth of a three-dimensional (3D) image is disclosed. The method comprises the following steps: firstly, at least one initial depth map associated with one image of the 3D image pair based on stereo matching technique is received, wherein the one image comprises a plurality of pixels, and the initial depth map carries an initial depth value of each pixel. Then, the inconsistence among the pixels of the one image of the 3D image pair is detected to estimate a reliable map. Finally, the initial depth value is interpolated according to the reliable map and the proximate pixels, so as to generate a revised depth map by revising the initial depth value.

System and method of revising depth of a 3D image pair

In accordance with at least some embodiments of the present disclosure, a process for generating a depth map for converting a two-dimensional (2D) image to a three-dimensional (3D) image is described. The process may include generating a depth gradient map from the 2D image, wherein the depth gradient map is configured to associate one or more edge counts with one or more depth values, extracting an image component from the 2D image, wherein the image component is associated with a color component in a color space, determining a set of gains to adjust the depth gradient map based on the image component, and generating the depth map by performing depth fusion based on the depth gradient map and the set of gains.

Depth map generation for a video conversion system

A super resolution (SR) method or system with database-free texture synthesis is disclosed. An input image is up-sampled to result in an up-sampled image. It is determined whether the input image possesses a smooth region. Edges of the up-sampled image are enhanced, and the enhancing edges step is bypassed if the smooth region has been detected. The enhanced or unenhanced up-sampled image is texture synthesized by taking the input image as texture example, thereby resulting in a synthesized image.

Super resolution system and method with database-free texture synthesis

An object-based system and method of directing visual attention by a subliminal cue is disclosed. An object detector detects an object in an input image, thereby resulting in a cued object served as an object-based subliminal cue. An enhancement unit enhances saliency of the cued object in the input image by respectively and differently adjusting image characteristic of the cued object and an area other than the cued object, thereby generating a cue image. A mixer selects between the cue image and the input image, thereby resulting in a sequence of output images composed of the input images and the cue images, each of which is interposed between the adjacent input images.

Object-based system and method of directing visual attention by a subliminal cue

A method of controlling backlight module, a backlight controller and a display device using the same are provided herein. First, an image having a plurality of regions is received, wherein the image is displayed by a plurality of color backlights which are provided from the backlight module. Next, a first average of a characteristic in a specific region of the image is calculated, wherein the specific region is one of the regions. According to the first average of the characteristic and a weight function, a characteristic weight is calculated. Next, one of the color backlights provided to the specific region is adjusted according to the characteristic weight. Therefore, adjusting the color backlights according to the image content can enhance the displaying quality of the image and adaptively reduce the artifacts perceived by human eyes in different images.

Method of controlling backlight module, backlight controller and display device using the same

A method for frame rate up conversion. The method is executed by a frame rate up-converter. The frame rate up-converter receives a plurality of consecutive input video frames and detects luminance information for a current frame. The frame rate up-converter generates a first output frame according to the luminance information for the current frame and a preceding frame before the current frame and generates a second output frame according to the luminance information for the current frame and a succeeding frame after the current frame, wherein the second output frame is outputted after the first output frame.

Apparatus and method for frame rate up conversion

An adaptive color-temperature calibration system and method are disclosed. A chrominance generation unit generates a chrominance criterion according to an input pixel. A matrix generation unit generates a calibration matrix according to the chrominance criterion and a basis matrix. A color calibration unit then performs color-temperature calibration on the input pixel according to the generated calibration matrix, thereby generating an output pixel.

Adaptive color-temperature calibration system and method

A method of frame interpolation for frame rate up conversion method is provided. The method includes: determining a first adjusting value and a second adjusting value according to a target pixel in at least one of a first frame and a second frame; determining an interpolated pixel value of the target pixel in an interpolated frame between the first frame and the second frame according to the first adjusting value and a pixel value of the target pixel in one of the first and second frames; and adjusting a pixel value of the target pixel in one of the first and second frames according to the second adjusting value.

Method of frame interpolation for frame rate up-conversion

A method and apparatus of tile-based belief propagation are disclosed. An image is split into a number of tiles. Messages are iteratively generated within each of the tiles based on the messages from neighboring pixels to the tile at a previous iteration, wherein each message represents information of a state of the pixel. The generated messages for sending out of the tiles are stored. Labels are then determined based on the stored messages, wherein each label represents the state of the pixel.

Growing community of inventors

Tainan, Taiwan

Ling-Hsiu Huang